Information processing method, information processing device, and information processing system

ABSTRACT

An information processing method includes: obtaining first image data indicating an image of at least one portion of a face of a target person from a camera connected to or built into a first computer; obtaining cerebral blood flow information indicating a state of cerebral blood flow of the target person from a detector that is connected to or built into the first computer and that detects the cerebral blood flow information; and displaying, on a display connected to or built into a second computer connected to the first computer through a remote network, an output image including a first image based on the first image data and a second image based on the cerebral blood flow information. The first image is a moving image including the at least one portion of the face, and the second image indicates changes over time in the cerebral blood flow information.

BACKGROUND 1. Technical Field

The present disclosure relates to an information processing method, aninformation processing device, and an information processing system forperforming diagnosis by utilizing biometric information of a targetperson.

2. Description of the Related Art

Recent years have seen shortages of hospitals and physicians mainly inregions other than urban areas. Remote diagnosis over a network isconsidered to be promising as measures against the shortages.

In diagnosis of mental disorders, physicians diagnose diseases based onfacial expressions, the line-of-sights, and the facial colors ofpatients through medical interviews. Meanwhile, near-infraredspectroscopy (NIRS) devices, which are devices utilizing NIRS, are usedas auxiliary tools for diagnosis. Each NIRS device illuminates a targetportion of a target person with light, such as near-infrared light, anddetects light that returns from the target portion, to thereby obtaininformation of blood flow of the target portion.

Use of the NIRS devices makes it possible to non-invasively detectchanges in cerebral blood flow of target people. Diagnosis utilizingNIRS is performed, for example, in the following manner. First, apatient performs a task for diagnosis, while wearing an NIRS device.Prior to and subsequent to the task, the NIRS device is used to measurechanges over time in light that has propagated in blood of the brain, anintensity distribution of the light, and so on. Based on these pieces ofmeasured information, a physician diagnoses whether or not the targetperson has a mental disorder and the type of mental disorder.

Japanese Unexamined Patent Application Publication No. 2014-023866discloses one example of a brain-activity-state analyzing methodutilizing an NIRS device.

SUMMARY

In one general aspect, the techniques disclosed here feature aninformation processing method including: obtaining first image dataindicating an image of at least one portion of a face of a target personfrom a first camera connected to or built into a first computer;obtaining cerebral blood flow information indicating a state of cerebralblood flow of the target person from a detector that is connected to orbuilt into the first computer and that detects the cerebral blood flowinformation; and displaying, on a display connected to or built into asecond computer connected to the first computer through a remotenetwork, an output image including a first image based on the firstimage data and a second image based on the cerebral blood flowinformation. The first image is a moving image including the at leastone portion of the face of the target person; and the second imageindicates changes over time in the cerebral blood flow information.

It should be noted that general or specific embodiments may beimplemented as a device, a system, a method, or any selectivecombination thereof.

Additional benefits and advantages of the disclosed embodiments willbecome apparent from the specification and drawings. The benefits and/oradvantages may be individually obtained by the various embodiments andfeatures of the specification and drawings, which need not all beprovided in order to obtain one or more of such benefits and/oradvantages.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram schematically illustrating the configurationof an information processing system in an exemplary embodiment of thepresent disclosure;

FIG. 2 is a diagram schematically illustrating a state in which adetecting device is used to detect cerebral blood flow information of atarget portion of a target person;

FIG. 3 is a block diagram illustrating an example of a configuration inwhich the detecting device is built into a target-person's computer, anda display is built into a diagnosing-person's computer;

FIG. 4 is a view schematically illustrating one example of theconfiguration of the target-person's computer, the detecting device, anda camera;

FIG. 5 is a view schematically illustrating another example of theconfiguration of the target-person's computer, the detecting device, andthe camera;

FIG. 6 is a block diagram illustrating a configuration example of aninformation processing system using the target-person's computerillustrated in FIG. 5;

FIG. 7 is a block diagram illustrating a modification of the informationprocessing system illustrated in FIG. 6;

FIG. 8 is a diagram illustrating an example using a head-mounted device;

FIG. 9 is a view schematically illustrating a configuration example ofthe head-mounted device;

FIG. 10 is a sequence diagram illustrating an overview of operations ofthe devices in remote diagnosis in the exemplary embodiment of thepresent disclosure;

FIG. 11 is a flowchart illustrating one example of a flow of remotediagnosis in the exemplary embodiment of the present disclosure;

FIG. 12A is a view schematically illustrating an example displayed onthe display of the diagnosing-person's computer;

FIG. 12B is a graph schematically illustrating a modification of theupper-right image illustrated in FIG. 12A;

FIG. 13 is a view schematically illustrating another example displayedon the display of the diagnosing-person's computer; and

FIG. 14 is a view schematically illustrating another example displayedon the display of the diagnosing-person's computer.

DETAILED DESCRIPTION

Traditional medical interviews or diagnoses using NIRS devices need tobe performed face-to-face between a diagnosing person (e.g., aphysician) and a target person (e.g., a patient). However, owing to ashortage of hospitals or physicians in recent years, as described above,there are demands for remote medical diagnosis. An embodiment of thepresent disclosure provides an information processing method that isparticularly effective for remote diagnosis. The technology disclosedherein can also be applied to cases in which a diagnosing person and atarget person are near each other.

The embodiment of the present disclosure includes, for example, aninformation processing method, an information processing device, and aninformation processing system described below.

[First Item]

An information processing method according to a first item includes:obtaining first image data indicating an image of at least one portionof the face of a target person from a first camera connected to or builtinto a first computer; obtaining cerebral blood flow informationindicating a state of cerebral blood flow of the target person from adetector that is connected to or built into the first computer and thatdetects the cerebral blood flow information; and displaying, on adisplay connected to or built into a second computer connected to thefirst computer through a remote network, an output image including afirst image based on the first image data and a second image based onthe cerebral blood flow information. The first image is a moving imageincluding the at least one portion of the face of the target person; andthe second image indicates changes over time in the cerebral blood flowinformation.

In this information processing method, an output image including amoving image of the face of a target person and changes over time incerebral blood flow information of the target person is transmittedthrough a remote network and is displayed on the display of the secondcomputer connected to the first computer. This allows a diagnosingperson who operates the second computer to effectively perform remotediagnosis of the target person.

[Second Item]

In the information processing method according to the first item, thefirst image may indicate at least one selected from the group consistingof a change in a facial expression of the target person, a change in aline-of-sight of the target person, and a change in facial color of thetarget person.

This allows the diagnosing person to effectively perform remotediagnosis of the target person.

[Third Item]

In the information processing method according to the first or seconditem, the second image may include a graph indicating changes over timein numerically expressed cerebral blood flow information.

This allows the diagnosing person to effectively perform remotediagnosis of the target person.

[Fourth Item]

The information processing method according to the third item mayfurther include causing an output device connected to or built into thefirst computer to output task information indicating a task to beperformed by the target person. The second image may further include animage indicating a correspondence relationship between the changes overtime in the cerebral blood flow information and a period in which thetask information is output.

This clarifies the changes over time in the cerebral blood flowinformation of the target person during execution of the task.

[Fifth Item]

The information processing method according to the fourth item mayfurther include detecting a change that exceeds a reference from atleast one piece of data selected from the group consisting of secondimage data from the first camera, third image data from a second cameraconnected to or built into the first computer, and audio data from amicrophone connected to or built into the first computer. The secondimage may further include an image indicating a correspondencerelationship between the changes over time in the cerebral blood flowinformation and a period in which the change is detected from the atleast one piece of data.

This clarifies influences that an event has on changes over time in thecerebral blood flow information of the target person.

[Sixth Item]

The information processing method according to the third item mayfurther include: selecting part of the cerebral blood flow informationindicating cerebral blood flow information related to at least onespecific region in a brain of the target person; and expressing the partas a graph.

Expressing the part of the cerebral blood flow information as a grapheliminates the need for extensively checking the cerebral blood flowinformation of the target person. As a result, the diagnosing person caneffectively perform remote diagnosis of the target person.

[Seventh Item]

The information processing method according to the sixth item mayfurther include: causing the display to display an item for determiningthe at least one specific region; and obtaining input informationregarding the item from an input device connected to or built into thesecond computer. The at least one specific region may be determinedaccording to the input information.

In this information processing method, when a cerebral region thatbecomes active greatly according to a disease or a symptom is known fromstatistical data, setting the cerebral region by using the input devicemakes it possible to easily determine the specific region.

[Eighth Item]

The information processing method according to the sixth item mayfurther include causing an output device connected to or built into tothe first computer to output preliminary task information indicating apreliminary task to be performed by the target person. The at least onespecific region may be determined according to a change in the cerebralblood flow information with respect to the preliminary task information.

This determination method is effective when the cerebral region thatbecomes active according to a disease or a symptom is not known.

[Ninth Item]

The information processing method according to the first item mayfurther include: selecting part of the cerebral blood flow informationindicating cerebral blood flow information related to at least onespecific region in a brain of the target person; and transmitting thepart from the first computer to the second computer through the remotenetwork.

This makes it possible to reduce the amount of communication from thefirst computer to the second computer. As a result, delay in thecommunication can be suppressed or reduced.

[Tenth Item]

The information processing method according to the ninth item mayfurther include: causing the display to display an item for determiningthe at least one specific region; and obtaining input informationregarding the item from an input device connected to or built into thesecond computer. The at least one specific region may be determinedaccording to the input information.

In this information processing method, when a cerebral region thatbecomes active greatly according to a disease or a symptom is known fromstatistical data, setting the cerebral region by using the input devicemakes it possible to easily determine the specific region.

[11th Item]

The information processing method according to the ninth item mayfurther include causing an output device connected to or built into tothe first computer to output preliminary task information indicating apreliminary task to be performed by the target person. The at least onespecific region may be determined according to a change in the cerebralblood flow information with respect to the preliminary task information.

This determination method is effective when the cerebral region thatbecomes active according to a disease or a symptom is not known.

[12th Item]

In the information processing method according to one of the first tothird items, the output image may be obtained by combining the firstimage and the second image.

This allows the diagnosing person to effectively perform remotediagnosis while viewing both the face of the target person and thecerebral blood flow information thereof.

[13th Item]

In the information processing method according to the 12th item, thedetector comprises: at least one light source that illuminates a targetportion of a head portion of the target person with emission light; animage sensor that detects reflection light that returns from the targetportion; and a processing circuit that generates the cerebral blood flowinformation for the target portion, based on information of thereflection light detected by the image sensor, and that outputs thecerebral blood flow information. The at least one light source mayilluminate a plurality of regions in the target portion with theemission light. The image sensor may output a signal indicating anintensity distribution of the reflection light from the plurality ofregions. The processing circuit may generate the cerebral blood flowinformation, based on the signal, and may output the cerebral blood flowinformation. The second image may indicate the changes over time in thecerebral blood flow information for the plurality of regions.

In this information processing method, a two-dimensional distribution ofthe target person's cerebral blood flow detected by the image sensor iscombined with the moving image of the face of the target person and isdisplayed. This allows the diagnosing person to effectively performremote diagnosis of the target person.

[14th Item]

In the information processing method according to the 13th item, the atleast one light source may include: a first light source thatilluminates the target portion with first emission light having awavelength that is 650 nm or more and less than 805 nm; and a secondlight source that illuminates the target portion with second emissionlight having a wavelength that is larger than 805 nm and is 950 nm orless. The image sensor may output a first electrical signalcorresponding to an amount of first reflection light that returns fromthe target portion as a result of the illumination of the first emissionlight and a second electrical signal corresponding to an amount ofsecond reflection light that returns from the target portion as a resultof the illumination of the second emission light. The processing circuitmay generate, as the cerebral blood flow information, informationindicating a concentration of oxygenated hemoglobin and a concentrationof deoxygenated hemoglobin in cerebral blood in the target portion,based on the first electrical signal and the second electrical signal.The second image may include information indicating changes over time inat least one selected from a group consisting of the concentration ofoxygenated hemoglobin in the target portion and the concentration ofdeoxygenated hemoglobin in the target portion.

In this information processing method, oxygenated hemoglobin anddeoxygenated hemoglobin in cerebral blood of the target person can beobtained with the two light sources. This allows the diagnosing personto diagnose the state of the brain activity of the target person indetail.

[15th Item]

In the information processing method according to one of the first to14th items, the second computer may switch an image displayed on thedisplay in response to an operation on the second computer. Theinformation processing method may further include: causing the firstimage to be displayed on the display; and causing the second image to bedisplayed on the display in addition to the first image or instead ofthe first image, in response to the operation.

In this information processing method, for example, when the diagnosingperson performs an operation on the second computer, the second imagecan be displayed on the display in addition to or instead of the faceimage of the target person. This allows the diagnosing person toeffectively perform remote diagnosis of the target person.

[16th Item]

In the information processing method according to the first to 15thitem, the detector may be built into a head-mounted device connected tothe first computer and worn on a head portion of the target person.

This makes it possible to reduce influences of ambient light, even foroutdoor use.

[17th Item]

The information processing method according to one of the first to 16thitems may further include: assessing at least one selected from a groupconsisting of a psychological state of the target person and aprobability of the target person having a disease, based on the cerebralblood flow information; and displaying a result of the assessment on thedisplay.

This allows the diagnosing person to effectively perform remotediagnosis of the target person.

[18th Item]

An information processing device according to an 18th item is aninformation processing device connected to a first computer and a secondcomputer through a network and includes a processing circuit and amemory in which a computer program is stored. The computer programcauses the processing circuit to execute: obtaining first image dataindicating an image of at least one portion of the face of a targetperson from a camera connected to or built into the first computer;obtaining cerebral blood flow information indicating a state of cerebralblood flow of the target person from a detector that is connected to orbuilt into the first computer and that detects the cerebral blood flowinformation; and displaying, on a display connected to or built into thesecond computer connected to the first computer through a remotenetwork, an output image including a first image based on the firstimage data and a second image based on the cerebral blood flowinformation. The first image is a moving image including the at leastone portion of the face of the target person; and the second imageindicates changes over time in the cerebral blood flow information.

This allows a diagnosing person who operates the second computer toeffectively perform remote diagnosis of the target person.

[19th Item]

An information processing system according to a 19th item includes theinformation processing device according to the 18th item and thedisplay.

In this information processing system, by using the informationprocessing device according to the 18th item and the display, thediagnosing person can effectively perform remote diagnosis of the targetperson.

[20th Item]

The information processing system according to the 19th item may furtherinclude the detector and the camera.

In this information processing system, by using the informationprocessing device according to the 19th item, the output device, and thecamera, the diagnosing person can effectively perform remote diagnosisof the target person.

In the present disclosure, all or a part of any of circuits, units,devices, parts, or portions or any of functional blocks in the blockdiagrams may be implemented as one or more of electronic circuitsincluding, but not limited to, a semiconductor device, a semiconductorintegrated circuit (IC), or a large-scale integration (LSI). The LSI orIC can be integrated into one chip or also can be a combination of aplurality of chips. For example, functional blocks other than a memorymay be integrated into one chip. Although the name used here is LSI orIC, it may also be called system LSI, very large scale integration(VLSI), or ultra large scale integration (ULSI) depending on the degreeof integration. A field programmable gate array (FPGA) that can beprogrammed after manufacturing an LSI or a reconfigurable logic devicethat allows reconfiguration of the connection or setup of circuit cellsinside the LSI can also be used for the same purpose.

In addition, the functions or operations of all or a part of thecircuits, units, devices, parts, or portions can be implemented byexecuting software. In such a case, the software is recorded on one ormore non-transitory recording media, such as a ROM, an optical disk, ora hard disk drive, and when the software is executed by a processor, thesoftware causes the processor together with peripheral devices toexecute the functions specified in the software. A system or a devicemay include such one or more non-transitory recording media on which thesoftware is recorded and a processor together with necessary hardwaredevices, such as an interface.

An embodiment of the present disclosure will be described below indetail. However, an overly detailed description may be omitted herein.For example, a detailed description of already well-known things and aredundant description of substantially the same configuration may beomitted herein. This is to avoid the following description becomingoverly redundant and to facilitate understanding of those skilled in theart. The accompanying drawings and the following description areprovided so as to allow those skilled in the art to fully understand thepresent disclosure and are not intended to limit the subject mattersrecited in the claims. In the following description, the same or similarconstituent elements are denoted by the same reference numerals.

Embodiment

The present embodiment relates to an information processing method, aninformation processing device, and an information processing system fora diagnosing person (e.g., a physician) to remotely diagnose, forexample, a psychological state of a target person (e.g., a patient). Inthe present embodiment, the diagnosing person and the target person areassumed to be at two locations (e.g., a hospital and the home of thetarget person) that are distant from each other. The two locations areconnected to each other through a remote network.

The “remote network” means an information network that connects twodistant sites. The remote network is, for example, the Internet or awide area network (WAN), such as a dedicated line, and does not includea network constituted by only a local area network (LAN). The remotenetwork may be implemented by a virtual private network (VPN).

The “psychological state” as used herein refers to a mood (e.g., comfortor discomfort), an emotion (e.g., relief, worry, sadness, or anger), ahealth condition (e.g., liveliness or fatigue), a thermal sensation(e.g., hot, cold, or muggy), a medical condition (e.g., mania,depression, or schizophrenia), or an index (e.g., the degree ofproficiency, the degree of learning, or the degree of concentration)indicating the degree of a brain activity that derives therefrom. Thepsychological state can be assessed based on changes in a cerebral bloodflow rate or changes in a component (e.g., hemoglobin) in blood. Forexample, when the activity of nerve cells changes in response to achange in the psychological state of a human, the cerebral blood flowrate or a component in blood changes. Accordingly, when a detectingdevice, such as an NIRS device, is used to measure biometricinformation, such as changes in a cerebral blood flow rate or changes ina component in blood, the psychological state of the target person canbe assessed.

[Configuration]

FIG. 1 is a block diagram schematically illustrating the configurationof an information processing system 100 in the present embodiment. Theinformation processing system 100 includes a detecting device 10, acamera 20, a display 30, and an information processing device 40. Thedetecting device 10 and the camera 20 are placed at a target-personside. The display 30 is placed at a diagnosing-person side. Theinformation processing device 40 is connected to the detecting device10, the camera 20, and the display 30 through a remote network. Theinformation processing device 40 may be, for example, a server computeron the Internet. The technology disclosed herein can also be applied tocases in which the information processing device 40 is connected to thedetecting device 10, the camera 20, or the display 30 through, forexample, a network constituted by a LAN or a mere cable, rather than aremote network.

The detecting device 10 is, for example, an NIRS device and detectscerebral blood flow information of a target person 1. The detectingdevice 10 includes at least one light source 12, a photodetector 14, anda processing circuit 16. The camera 20 photographs the target person 1to output image data. The image data indicates at least one of, forexample, a facial expression, the line-of-sight, and facial color of thetarget person 1. The information processing device 40 generatesinformation for diagnosing the psychological state of the target person1, based on the cerebral blood flow information detected by thedetecting device 10, and transmits the generated information to thedisplay 30.

The information processing device 40 includes a processing circuit 42and a memory 44. The memory 44 stores a computer program 46 therein. Thecomputer program 46 causes the processing circuit 42 to executeprocesses (1) to (4) below:

-   (1) obtaining first image data indicating an image including at    least one portion of the face of the target person 1 from the camera    20;-   (2) obtaining cerebral blood flow information of the target person 1    from the detecting device 10;-   (3) generating second image data including information for    diagnosing the psychological state of the target person 1, based on    the obtained cerebral blood flow information; and-   (4) causing at least one image based on the first and second image    data to be displayed on the display 30.

Processes (1) and (2) described above may be interchanged in order ormay be performed at the same time.

In process (4) described above, the image that is displayed on thedisplay 30 may be a combination of a first image based on the firstimage data, the first image being a face image of the target person, anda second image based on the second image data, the second image being animage indicating changes over time in the cerebral blood flowinformation. These two images may be displayed at the same time or maybe displayed at different timings. Alternatively, one output imageobtained by combining the two images together may be displayed. Eachimage that is displayed is not limited to a still image and may be amoving image. When the image that is displayed is a moving image, thefirst image may indicate at least one selected from a group consistingof, for example, a change in the facial expression, a change in theline-of-sight, and a change in the facial color of the target person 1.When the image that is displayed is a moving image, the second image maybe an image indicating changes over time in numerically expressedcerebral blood flow information.

When a moving image is displayed, the information processing device 40repeatedly executes processes (1) to (4) described above, for example,at regular time intervals. The regular time intervals depend on theframe rate of the moving image. For example, when a moving image havinga frame rate of 30 frames per second (fps) is displayed, the informationprocessing device 40 repeatedly executes processes (1) to (4) atintervals of 1/30 second. When the intervals are sufficiently short,real-time remote diagnosis using a moving image is possible. Therepetition intervals depend on throughput of each device and thebandwidth of a network. For example, the intervals may be set to 1second or less or may be set to 1/30 second or less. The intervals,however, are not limited to the aforementioned range. A camera imagethat is a moving image based on the first image data and a cerebralblood flow image that is a moving image based on the second image datamay be displayed with different frame rates. For example, the cameraimage may be displayed with a frame rate of 30 fps or more, and thecerebral blood flow image may be displayed with a frame rate of severalframes per second or more. Since the cerebral blood flow changesrelatively slowly, there is practically no problem with the frame rateof the cerebral blood flow image even when it is lower than the framerate of the camera image.

The processing circuit 42 in the information processing device 40 maybe, for example, a processor, such as a central processing unit (CPU) ora graphics processing unit (GPU). A combination of a processor and acomputer program realizes an information processing method in thepresent embodiment. The processing circuit 42 and the memory 44 may berealized by one integrated circuit. The processing circuit 42 may berealized by, for example, a digital signal processor (DSP) or aprogrammable logic device (PLD), such as a field programmable gate array(FPGA).

FIG. 2 is a diagram schematically illustrating a state in which thedetecting device 10 is used to detect the cerebral blood flowinformation of a target portion 2 of the target person 1. In the exampleillustrated in FIG. 2, the target portion 2 is the forehead portion ofthe target person 1. Although not illustrated in FIGS. 1 and 2, thedetecting device 10 further includes a control circuit thatsynchronously controls the operation of a light source 12 and theoperation of the photodetector 14. The number of light sources 12differs depending on the application. For example, in an application inwhich the number of pulses at the target portion 2 is measured and anapplication in which changes over time in the concentration ofoxygenated hemoglobin in cerebral blood are detected, a light source 12having a single wavelength can be used. Meanwhile, in an application inwhich information on both the concentration of oxygenated hemoglobin andthe concentration of deoxygenated hemoglobin in cerebral blood isobtained, two light sources that emit respective two types of lighthaving different wavelengths may be used, as described below.

As illustrated in FIG. 2, the light source 12 emits light thatilluminates the target portion 2 of a head portion of the target person1. Part of light that is incident on the target portion 2 is scatteredby tissue in the brain of the target person 1 and exits from the targetportion 2. The light includes information indicating the state of bloodin the brain. Upon receiving the light that has arrived from the targetportion 2, the photodetector 14 outputs electrical signals correspondingto the amount of the received light. Based on the output electricalsignals, the processing circuit 16 generates cerebral blood flowinformation of the target portion 2 and outputs the cerebral blood flowinformation.

The “cerebral blood flow information” as used herein refers to arbitraryinformation indicating the state of blood in the brain. The cerebralblood flow information may be, for example, raw data output from thephotodetector 14 or data generated by processing raw data. The raw dataoutput from the photodetector 14 means data indicating the amount ofreflection light from at least one region of a target portion. When thephotodetector 14 transmits the raw data to the information processingdevice 40, the processing circuit 16 transfers the raw data to theinformation processing device 40 without performing any particularprocessing on the raw data. The processing circuit 16 may generate, asthe cerebral blood flow information, information indicating theconcentration of at least one of oxygenated hemoglobin and deoxygenatedhemoglobin in cerebral blood in the target portion 2. The processingcircuit 16 may generate information about the number of pulses as thecerebral blood flow information. The processing circuit 42 in theinformation processing device 40, instead of the processing circuit 16,may perform processing for generating the cerebral blood flowinformation.

The photodetector 14 has at least one light-receiving element havingsensitivity to light emitted from the light source 12. Typically, thephotodetector 14 is an image sensor in which a plurality oflight-receiving elements is arranged two-dimensionally. The individuallight-receiving elements in the image sensor output electrical signalscorresponding to the amounts of received light through photoelectricconversion. The collection of the electrical signals provides imagesignals.

The light source 12 emits, for example, light having a wavelength of 650nm or more and 950 nm or less. This wavelength range is included in thewavelength range of red to near-infrared light. This wavelength range iscalled the biological window and is known to have a low in-vivoabsorption rate. Although the light source 12 in the present embodimentis described as emitting light in the above-described wavelength range,it may use light in another wavelength range. Terms for “light” are alsoused herein not only for visible light but also for infrared light.

In a visible light region that is smaller than a wavelength of 650 nm,the rate of absorption by oxygenated hemoglobin (HbO₂) and the rate ofabsorption by deoxygenated hemoglobin (Hb) in blood are high, and in awavelength range that is larger than 950 nm, the rate of absorption bywater is high. On the other hand, in a wavelength range of 650 nm ormore and 950 nm or less, the rates of absorption by oxygenatedhemoglobin, deoxygenated hemoglobin, and water are relatively low, andthe rates of scattering by oxygenated hemoglobin, deoxygenatedhemoglobin, and water are relatively high. For a wavelength of 805 nm,the rate of absorption by oxygenated hemoglobin and the rate ofabsorption by deoxygenated hemoglobin become equal to each other.

Accordingly, when information on both the oxygenated hemoglobin and thedeoxygenated hemoglobin is to be obtained, the light source 12 may beimplemented by a first light source that emits light having a firstwavelength that is 650 nm or more and is less than 805 nm and a secondlight source that emits light having a second wavelength that is largerthan 805 nm and is 950 nm or less. For example, the first wavelength maybe 750 nm, and the second wavelength may be 850 nm.

When light having two wavelengths is used as described above, thephotodetector 14 is configured so as to individually detect the lighthaving the wavelengths. For example, the photodetector 14 may include atleast one photodiode and a plurality of charge accumulators. In thiscase, the light source 12 emits the light having two wavelengths atdifferent timings, and in synchronization with the timing at which thelight having the two wavelengths returns, signal charges resulting fromthe light are accumulated in two charge accumulators. This makes itpossible to individually detect the light having the two wavelengths. Inthis case, the photodetector 14 outputs a first electrical signalcorresponding to the amount of light having a first wavelength whicharrives from the target portion 2 and a second electrical signalcorresponding to the amount of light having a second wavelength whicharrives from the target portion 2. By performing predeterminedarithmetic operations based on the first and second electrical signals,the processing circuit 16 can determine the concentration of oxygenatedhemoglobin and the concentration of deoxygenated hemoglobin in thetarget portion 2. In one example, the processing circuit 16 generatesinformation of the concentrations as the cerebral blood flowinformation.

The processing circuit 42 in the information processing device 40obtains the cerebral blood flow information from the processing circuit16 and generates second image data including information for diagnosingthe psychological state of the target person 1. The second image datamay include, for example, information indicating changes over time in atleast one of the concentration of oxygenated hemoglobin and theconcentration of deoxygenated hemoglobin in the target portion 2. Suchinformation is displayed on the display 30 to thereby allow thediagnosing person to diagnose the state of the brain activity of thetarget person in detail.

The detecting device 10 and the camera 20 may be connected to or builtinto a first computer operated by the target person 1. The display 30may be connected to or built into a second computer operated by thediagnosing person. The first and second computers may be, for example,personal computers (PCs), tablet computers, or information equipment,such as smartphones. The first computer at the target-person side andthe second computer at the diagnosing-person side may both havecommunication functions to connect to each other through a remotenetwork. In such a configuration, the information processing device 40may be a third computer connected to the first and second computersthrough a remote network. Alternatively, the second computer at thediagnosing-person side may function as the information processing device40.

FIG. 3 is a block diagram illustrating an example of a configuration inwhich the detecting device 10 is built into a target-person's computer50, which is the first computer operated by the target person, and thedisplay 30 is built into a diagnosing-person's computer 60, which is thesecond computer operated by the diagnosing person. In the exampleillustrated in FIG. 3, the camera 20 is also built into thetarget-person's computer 50. According to such a configuration, thetarget-person's computer 50 and the diagnosing-person's computer 60 areconnected to the information processing device 40 via respectivecommunication functions. Application software for implementing remotediagnosis is installed on the target-person's computer 50 and thediagnosing-person's computer 60. When the remote diagnosis is performed,the target person and the diagnosing person start up predeterminedapplications in the target-person's computer 50 and thediagnosing-person's computer 60, respectively, to perform video calling.In a configuration in which the target-person's computer 50 and thediagnosing-person's computer 60 are not provided, like that in FIG. 1,each of the camera 20, the detecting device 10, and the display 30 has acommunication function to communicate with the information processingdevice 40.

A variety of variations are possible to the configuration of thetarget-person's computer 50, the detecting device 10, and the camera 20.Some examples of the variations will be described below.

FIG. 4 is a view schematically illustrating one example of theconfiguration of the target-person's computer 50, the detecting device10, and the camera 20. In the example illustrated in FIG. 4, thetarget-person's computer 50 has the detecting device 10 and the camera20 that are built therein. A face image of the target person 1 capturedby the camera 20 is displayed on a display of the target-person'scomputer 50. This face image is the same as an image displayed on thedisplay 30 of the diagnosing-person's computer 60. This allows thetarget person 1 to check his or her face image displayed on the display30 of the diagnosing-person's computer 60. In a period in which thetarget person 1 and the diagnosing person are performing video calling,the face image of the target person 1 which is displayed on thetarget-person's computer 50 may be switched to a face image of thediagnosing person. The face image of the diagnosing person is an imagecaptured by, for example, a camera (not illustrated) provided in thediagnosing-person's computer 60. In the example illustrated in FIG. 4,the detecting device 10 and the camera 20 are built into and integratedinto the target-person's computer 50. Thus, the target-person's computer50 is compact and is easy to carry. The target person can operate thedetecting device 10, the camera 20, and the target-person's computer 50by using a user interface, such as a keyboard or a mouse. Although anotebook PC is illustrated as one example of the target-person'scomputer 50 in the example illustrated in FIG. 4, the target-person'scomputer 50 may be a desktop PC. A tablet computer or a smartphone maybe used instead of the PC.

FIG. 5 is a view schematically illustrating another example of theconfiguration of the target-person's computer 50, the detecting device10, and the camera 20. In the example illustrated in FIG. 5, thedetecting device 10 is an external device that is used throughconnection to the target-person's computer 50 into which the camera 20is built. The connection between the detecting device 10 and thetarget-person's computer 50 is realized by, for example, a cable thatcomplies with a known standard, such as a Universal Serial Bus (USB)standard. Since the detecting device 10 is external equipment, theconnection can be realized by merely adding execution software to thetarget-person's computer 50, which is already available. Also, there isan advantage in that only the detecting device 10 can be carried.

FIG. 6 is a block diagram illustrating a configuration example of aninformation processing system using the target-person's computer 50illustrated in FIG. 5. Since the detecting device 10 is connected to thetarget-person's computer 50, the processing circuit 16 is connected tothe processing circuit 42 in the information processing device 40 viathe target-person's computer 50. In such a configuration, theinformation processing device 40 obtains the cerebral blood flowinformation from the detecting device 10 via the target-person'scomputer 50, that is, the first computer.

FIG. 7 is a block diagram illustrating a modification of the informationprocessing system illustrated in FIG. 6. In the example illustrated inFIG. 7, the processing circuit 16 is provided in the target-person'scomputer 50, not in the detecting device 10. The raw data describedabove is sent from the photodetector 14 to the processing circuit 16(e.g., a CPU or a DSP) in the target-person's computer 50. Theprocessing circuit 16 generates cerebral blood flow information, basedon the raw data, and transmits the cerebral blood flow information tothe processing circuit 42 in the information processing device 40. Insuch a configuration, the information processing device 40 obtains thecerebral blood flow information from the target-person's computer 50.However, assuming that the target-person's computer 50 is one part ofthe detecting device 10, it may be thought that the informationprocessing device 40 obtains the cerebral blood flow information fromthe detecting device 10.

FIG. 8 is a diagram illustrating yet another modification. In theexample illustrated in FIG. 8, the detecting device 10 is built into ahead-mounted device 70. The camera 20 is built into the target-person'scomputer 50. For diagnosis, the target person 1 wears the head-mounteddevice 70 and starts up a predetermined application.

FIG. 9 is a view schematically illustrating the configuration of thehead-mounted device 70. The head-mounted device 70 has the detectingdevice 10 at a position that opposes the forehead portion of the targetperson 1 when the head-mounted device 70 is worn. According to such aconfiguration, there are following advantages in addition to theadvantages in the example illustrated in FIG. 5. First, since theforehead of the target person 1 is covered by the head-mounted device70, influences of ambient light can be reduced even when it is usedoutdoors. The head-mounted device 70 may also be a head-mounted displaydevice. In such a case, through virtual reality, natural diagnosis as ifa physician is on site can be performed even from a remote location. Itis also possible to perform a new task taking advantage of features ofthe virtual reality.

According to each configuration example described above, the informationprocessing device 40 can simultaneously obtain a face image and acerebral blood flow image of the target person 1 and can cause theimages to be displayed on the display 30. This allows accurate diagnosisto be performed even from a remote location, as in a case in which thediagnosing person directly diagnoses the target person 1.

[Operation]

Next, a description will be given of an example of the operation of theinformation processing system in the present embodiment. In thefollowing description, the configurations illustrated in FIGS. 7 and 8are assumed to be employed by way of example. Information of theconcentration of oxygenated hemoglobin and the concentration ofdeoxygenated hemoglobin is assumed to be generated as the cerebral bloodflow information.

FIG. 10 is a sequence diagram illustrating an overview of the operationsof the devices in remote diagnosis between the target person 1 and adiagnosing person in the present embodiment. First, remote visualcommunication is established between the target-person's computer 50 andthe diagnosing-person's computer 60. This remote visual communicationcan be performed, for example, by using a video calling application,such as Skype (registered trademark). When the visual communication isestablished, the target-person's computer 50 transmits a control signalfor initialization and position correction to the detecting device 10.The initialization means an operation for adjusting the measurementrange of the detecting device 10. The position correction meansadjustment for correcting the position of the target portion of thetarget person 1 to an appropriate position relative to the detectingdevice 10. The concentration of oxygenated hemoglobin and theconcentration of deoxygenated hemoglobin differ from individual toindividual. Also, the characteristics of the light source 12 and thephotodetector 14 in the detecting device 10 may vary depending on anenvironmental condition, such as a temperature. Thus, before startingeach measurement, the target-person's computer 50 adjusts variousparameters, such as the amount of light emitted from the light source 12or the exposure time of the photodetector 14, so that the measurementvalue of the cerebral blood flow falls within a certain range. Inaddition, in accordance with the position of the target portion whichchanges depending on the physical constitution or the seated position ofthe target person 1, the target-person's computer 50 adjusts a region onwhich the measurement is to be performed. When the position of thetarget portion of the target person 1 is not appropriate, thetarget-person's computer 50 may display, for example, a message to thateffect on the display. When such a message is displayed, the targetperson 1 adjusts the position of the target portion to an appropriateposition by adjusting the seated position or wearing the head-mounteddevice 70 again.

The detecting device 10 measures the cerebral blood flow of the targetperson 1 and transmits raw data of the cerebral blood flow to thetarget-person's computer 50. The processing circuit 16 in thetarget-person's computer 50 performs signal processing using raw dataoutput from the detecting device 10, to generate data of the cerebralblood flow based on the raw data. In the signal processing,predetermined arithmetic operations based on the first and secondelectrical signals are performed to determine the concentration ofoxygenated hemoglobin and the concentration of deoxygenated hemoglobin.After the signal processing, the target-person's computer 50 transmits acontrol signal for changing the settings, such as a detection region,exposure, and a lighting intensity, to the detecting device 10, whennecessary. Cases in which the transmission of the control signal isnecessary include, for example, a case in which the distance between thetarget person 1 and the detecting device 10 changes from the distancebefore the measurement and a case in which the amount of ambient lightchanges from the amount of ambient light before the measurement.

After the signal processing, the processing circuit 16 in thetarget-person's computer 50 transmits the generated data (i.e., thecerebral blood flow information) of the cerebral blood flow to theinformation processing device 40 through the network. The processingcircuit 42 in the information processing device 40 stores the data inthe memory 44. The information processing device 40 performs statisticalprocessing based on the data accumulated up to that point in time, toassess the psychological state (e.g., the presence/absence of a mentaldisorder and the type thereof) of the target person 1. For example, dataof changes over time in cerebral blood flow of a large number of targetpeople and/or data of a spatial distribution of the cerebral blood floware recorded to a recording medium for respective various races,genders, medical conditions in association with the medical conditionsat the respective points in time. The processing circuit 42 in theinformation processing device 40 can assess the state of the targetperson 1 by comparing the current data of the cerebral blood flow of thetarget person 1 with the accumulated past data. A result of thisassessment is referred to as a “diagnosis result”. The informationprocessing device 40 transmits the second image data, which is thegenerated data of the cerebral blood flow, and data indicating thediagnosis result to the diagnosing-person's computer 60. Thediagnosing-person's computer 60 causes the display 30 to display thecerebral blood flow information and an image indicating the diagnosisresult.

Next, a description will be given of a flow of remote diagnosisperformed between a target person and a diagnosing person.

FIG. 11 is a flowchart illustrating one example of a flow of remotediagnosis between a target person and a diagnosing person in the presentembodiment.

First, the target-person's computer 50 and the detecting device 10perform baseline measurement (step S101). The baseline measurementrefers to measurement for obtaining an initial value of the cerebralblood flow information. The target person 1 performs a simple task, suchas calculation, for a certain period of time (e.g., two minutes). Duringthe period of time, the detecting device 10 illuminates the foreheadportion of the target person 1 with light and detects reflection lighttherefrom. Based on a signal output from the photodetector 14 in thedetecting device 10, the processing circuit 16 determines theconcentration of oxygenated hemoglobin and the concentration ofdeoxygenated hemoglobin.

Next, the processing circuit 16 analyzes data of the determined cerebralblood flow and checks motion of the target person 1 or thepresence/absence of noise (step S102). For example, the motion of thetarget person 1 can be known in a manner described below. In nature, theconcentration of oxygenated hemoglobin and the concentration ofdeoxygenated hemoglobin exhibit opposite changes over time. Accordingly,when changes over time in both the concentration of oxygenatedhemoglobin and the concentration of deoxygenated hemoglobin increase ordecrease, it can be determined that the target person 1 is moving.

Based on the analysis result, the processing circuit 16 determineswhether or not the data is adequate (step S103). If the data is notadequate, steps S101 to S103 are performed again.

If the data is adequate, remote communication is started between thetarget person 1 and the diagnosing person. The camera 20 obtains data ofa face image of the target person 1, and the detecting device 10 obtainsthe data of the cerebral blood flow of the target person 1 (step S104).These pieces of data are transmitted to the processing circuit 42 in theinformation processing device 40. The processing circuit 42 transmitsimage data based on the pieces of data to the display 30 of thediagnosing-person's computer 60. As a result, the face image of thetarget person 1 and an image indicating information of the cerebralblood flow are displayed on the display 30 of the diagnosing-person'scomputer 60. Thus, the diagnosing person performs medical examination onthe target person 1 through video calling therewith and acquiresinformation on a symptom and so on through conversation with the targetperson 1 (step S106).

The processing circuit 16 in the target-person's computer 50 furtheranalyzes the cerebral blood flow data obtained in step S104 and causesthe analysis result to be displayed on the display 30 of thediagnosing-person's computer 60 (step S105). Based on the displayedanalysis data, the diagnosing person diagnoses the target person 1 (stepS107). Based on the analysis data, the diagnosing person determineswhether or not more detailed examination on the target person 1 isneeded (step S108). If detailed examination on the target person 1 isnot needed, the diagnosis ends.

If it is determined that detailed examination on the diagnosing personis needed, the information processing device 40 presents taskinformation, such as a task for diagnosis, to an output device of thetarget-person's computer 50 (step S110). The output device of thetarget-person's computer 50 is, for example, a display or a microphone.The task for diagnosis checks changes in a blood flow rate between astate in which the target person 1 is relaxing and a state in which thetarget person 1 is working on a test.

It is known that the functions of the brain are localized to somedegree. Thus, the task for diagnosis is designed depending on what stateof the target person 1 is to be known. For example, an N-back task maybe used as the task for diagnosis. The N-back task is also called acontinuous performance test and is a test in which a target personresponds to a stimulus presented N-stimuli earlier. In the N-back test,it is difficult to memorize the test, and a cerebral-blood-flow changereduction due to habituation is less likely to occur. The difficultyincreases, as N increases. Thus, the difficulty of the test can be seteasily.

After the target person 1 performs the task for diagnosis, thetarget-person's computer 50 presents diagnosis data and a diagnosisresult to the display 30 of the diagnosing-person's computer 60 via theinformation processing device 40 (step S111). The diagnosis result isobtained by verifying the diagnosis data against a database. This makesit possible to assess the type and the probability of the target person1 having a disease.

Next, a description will be given of events that are disturbance factorsthat affect the measurement result of cerebral blood flow of the targetperson 1 during the diagnosis task.

The events are broadly classified into events caused by the measurementenvironment of the target person 1 side and events caused the targetperson 1 himself or herself.

Examples of the events caused by the measurement environment of thetarget person 1 side include a large ambient sound and a room lightingchange due to turning on or off of a light. For diagnosing depression,changes over time in the cerebral blood flow during a diagnosis task areused. When changes over time in the cerebral blood flow vary owing to ameasurement environment, there is a possibility that the change affectsthe diagnosis.

Examples of the events caused by the target person 1 himself or herselfinclude large motion of the body of the target person 1 and a decline inthe concentration power of the target person 1 during a diagnosis task.Relative positional displacement between the target person 1 and thephotodetector 14 or a decline in the concentration power of the targetperson 1 can affect the cerebral blood flow measurement.

Each of the events described above can be detected based on at least oneof a plurality of pieces of data below. The plurality of pieces of dataincludes image data from the camera 20 in the target-person's computer50, image data from another camera connected to or built into thetarget-person's computer 50, and audio data from a microphone connectedto or built into the target-person's computer 50. For example, theabove-described events can be detected by a camera for videophone usedin remote diagnosis, another camera, or a microphone.

Next, a description will be given of an example of an eventdetermination method.

The events caused by a large ambient sound can be determined in thefollowing manner. When the volume of sound detected by a microphoneexceeds a given threshold with reference to the volume of voice inconversation between the target person 1 and the diagnosing person, itis determined that an event has occurred.

The events caused by a room lighting change can be determined in thefollowing manner. When illuminance changes from illuminance in a cameraimage by a certain amount or more, it is determined that an event hasoccurred.

The events caused by large motion of the body of the target person 1 canbe determined in the following manner. When the relative positionbetween the target person 1 and the photodetector 14 changes in a cameraimage by a certain amount or more, it is determined that an event hasoccurred. The certain amount is, for example, ±3 cm.

The events caused by a decline in the concentration power of the targetperson 1 can be determined in the following manner. When theline-of-sight of the target person 1 changes by a certain amount, it isdetermined that an event has occurred.

The above-described events may be determined by artificial intelligence(AI) built into the information processing device 40 or thetarget-person's computer 50.

[Display Example]

Next, a description will be given of an example displayed on the display30 of the diagnosing-person's computer 60.

FIG. 12A is a view schematically illustrating an example displayed onthe display 30 of the diagnosing-person's computer 60. In the exampleillustrated in FIG. 12A, a moving image of the face of the target person1 is displayed at the left side on the screen of the display 30, a graphindicating changes over time in the cerebral blood flow is displayed onthe upper right, and the target portion 2 of the target person 1 isdisplayed at the lower right. In the upper-right graph illustrated inFIG. 12A, the solid line represents changes over time in theconcentration of oxygenated hemoglobin, and the dashed line representschanges over time in the concentration of deoxygenated hemoglobin. Whatis shown in the graph is not limited to the example illustrated in FIG.12A, and the graph may show changes over time in the concentration ofone of the oxygenated hemoglobin and the deoxygenated hemoglobin. Theupper-right image illustrated in FIG. 12A may indicate changes over timein cerebral blood flow obtained from one portion of the target portion 2and may indicate changes over time in an average cerebral blood flowobtained from a plurality of portions or regions of the target portion2. The waveform of changes over time in the cerebral blood flow may bedenoted by a cursor indicating a current point in time or arepresentation indicating the period of a task.

FIG. 12B is a graph schematically illustrating a modification of theupper-right image illustrated in FIG. 12A. In the example illustrated inFIG. 12B, the start and the end of a task and occurrence of an event aredenoted by vertical lines.

As illustrated in FIG. 12B, the upper-right image illustrated in FIG.12A may include a correspondence relationship between changes over timein the cerebral blood flow and a period in which task information isoutput. This clarifies changes over time in the cerebral blood flow ofthe target person 1 during the task. The period in which the task isoutput corresponds to a period from the start of the task for diagnosisto the end of the task for diagnosis.

As illustrated in FIG. 12B, the upper-right image illustrated in FIG.12A may include a correspondence relationship between changes over timein the cerebral blood flow and a period in which an event occurs. Thisclarifies influences that the event has on changes over time in thecerebral blood flow of the target person 1. When the period in which theevent occurs is short, only one portion may be shown.

FIG. 13 is a view schematically illustrating another example displayedon the display 30 of the diagnosing-person's computer 60. In the exampleillustrated in FIG. 13, an image indicating two-dimensionalconcentration distributions of cerebral blood flow of the target portion2 is combined with a moving image of the face of the target person 1,and the resulting image is displayed. Each two-dimensional concentrationdistribution may be, for example, an oxygenated-hemoglobin concentrationdistribution. In addition, a plurality of graphs indicating changes overtime in the cerebral blood flow in a plurality of regions in the targetportion 2 is displayed around the moving image of the face of the targetperson 1. These graphs each show changes over time in an averageconcentration of oxygenated hemoglobin and an average concentration ofdeoxygenated hemoglobin in each region.

In the example illustrated in FIG. 13, the plurality of graphsindicating changes over time in the cerebral blood flow and theplurality of regions in the target portion 2 are associated with eachother by different types of surrounding lines (a dashed line, a dottedline, a dashed-dotted line, and a chain double-dashed line). This makesit possible to determine which graph indicates in which region changesover time in the cerebral blood flow occurred. The association is notlimited to the surrounding lines and may be performed using, forexample, colors, numbers, or characters.

In the present embodiment, images indicating cerebral blood flowinformation expressed as graphs are displayed in real time, asillustrated in FIGS. 12A, 12B, and 13. Thus, before measurement, aspecific region, which is a cerebral region for expressing the cerebralblood flow information as a graph, is selected. The specific region is,for example, a cerebral region in which a cerebral blood flow ratechanges significantly depending on a task. The cerebral region differsfrom individual to individual.

The following description will be given of an example of a method fordetermining the specific region.

When a cerebral region that becomes active significantly according to adisease or a symptom is known from statistical data, a specific regionpre-expressed as a graph before diagnosis can be selected fromcandidates. For example, the name of a portion of at least one specificregion corresponding to a disease or a symptom is set for a candidate.Herein, the set candidates are referred to as “set items”. Theprocessing circuit 42 causes the display 30 of the diagnosing-person'scomputer 60 to display the set items. Instead of displaying the setitems, at least one specific region surrounded by a line may bedisplayed, as illustrated in FIG. 13. Furthermore, the set items may bethe names of diseases or symptoms.

The diagnosing person inputs input information regarding the set itemsto an input device connected to or built into the diagnosing-person'scomputer 60. The input device is, for example, a user interface, such asa keyboard or a mouse. The processing circuit 42 obtains the inputinformation and determines a specific region in accordance with theinput information. Only the determined specific region is displayed onthe display 30 of the diagnosing-person's computer 60, with the specificregion being surrounded by a line. A plurality of cerebral regions thatbecome active according to a disease or a symptom may exist.Accordingly, the number of specific regions that are determined does notnecessarily have to be one and may be two or more.

Another possible example of the method for determining the specificregion may be a method for checking the specific region by making thetarget person 1 perform a preliminary task, such as simple calculation,before the task for diagnosis. For example, in step S104 illustrated inFIG. 11, the processing circuit 42 causes the display of thetarget-person's computer 50 to output preliminary task informationindicating a preliminary task. The target person 1 performs thepreliminary task. The processing circuit 42 determines a specific regionaccording to the magnitude of a change in the cerebral blood flowinformation of the target person 1, the change being caused by thepreliminary task. For example, a region in which the cerebral blood flowinformation changes greater than a specified threshold may be set forthe specific region. The number of specific regions that are determineddoes not necessarily have to be one and may be two or more. Thisspecific-region determination method is effective when a cerebral regionthat becomes active according to a disease or a symptom is not known.

As described above, in the present embodiment, it is not necessary tomeasure cerebral blood flow in a large range in the brain of the targetperson 1. Herein, cerebral blood flow information related to at leastone specific region in the brain of the target person 1 is referred toas “part of cerebral blood flow information”.

In the present embodiment, the part of cerebral blood flow informationmay be selected, for example, using the above-described determinationmethod, and the selected part of cerebral blood flow information may beexpressed as a graph. Expressing the part of cerebral blood flowinformation as a graph can enhance the efficiency of the diagnosis.

In the present embodiment, the part of cerebral blood flow informationmay be selected, for example, using the above-described determinationmethod, and the selected part of cerebral blood flow information may betransmitted from the target-person's computer 50 to thediagnosing-person's computer 60 through a remote network. Transmittingthe part of cerebral blood flow information before it is expressed as agraph can reduce the amount of communication. As a result, it ispossible to reduce delay in communication.

The target person 1, instead of the diagnosing person, may select thepart of cerebral blood flow information. In such a case, the set itemsmay be displayed on the display of the target-person's computer 50.

When the display illustrated in FIG. 13 is to be performed, thephotodetector 14 is implemented by an image sensor having sensitivity tolight (e.g., near-infrared light) emitted from the light source 12. Theimage sensor includes light-receiving elements that are arrangedtwo-dimensionally. The light-receiving elements are, for example,photoelectric converting elements, such as photodiodes, and outputelectrical signals corresponding to the amounts of light that isreceived. A collection of the electrical signals output from thelight-receiving elements is treated as image signals. In order to obtaincerebral blood flow information of a plurality of regions in the targetportion 2, the light source 12 illuminates the plurality of regions withlight. The processing circuit 16 generates pieces of cerebral blood flowinformation for the respective regions, based on the signals output fromthe image sensor, and outputs the pieces of cerebral blood flowinformation.

When a face image of the target person 1 and an image indicating changesin the cerebral blood flow of the target person 1 are displayed at thesame time, as illustrated in FIGS. 12A, 12B, and 13, the diagnosingperson can more effectively diagnose the psychological state of thetarget person 1.

FIG. 14 is a view schematically illustrating yet another exampledisplayed on the display 30 of the diagnosing-person's computer 60. Morespecifically, the example in FIG. 14 illustrates a graph showing changesover time in average concentrations of oxygenated hemoglobin anddeoxygenated hemoglobin in a region 1 of the target portion 2, a graphshowing changes over time in average concentrations of oxygenatedhemoglobin and deoxygenated hemoglobin in a region 2 of the targetportion 2, and a chart showing a diagnosis result of a target person. Inthe example illustrated in FIG. 14, the region 1 is a frontal region ofthe head, and the region 2 is a temporal region. The star sign in theright-side chart illustrated in FIG. 14 indicates a disorder that isassessed to affect the target person. With which disorder the targetperson is affected is assessed from changes over time in theconcentration of oxygenated hemoglobin and the concentration ofdeoxygenated hemoglobin in each region. The information processingdevice 40 may assess the psychological state of the target person or theprobability of the target person having a disease and may cause thedisplay 30 to display the assessment result.

In response to an operation of the diagnosing person, thediagnosing-person's computer 60 may switch the image displayed on thedisplay 30. For example, only a face image may be initially displayedand be switched to a cerebral blood flow image or the image illustratedin FIG. 14 in accordance with an operation of the diagnosing person, oran image obtained by combining a face image and a cerebral blood flowimage together may be displayed. In such a case, when the diagnosingperson performs an operation for switching the image while a face imageof the target person 1 is displayed on the display 30, thediagnosing-person's computer 60 transmits, to the information processingdevice 40, a signal indicating that the displayed image to be switched.Upon receiving the signal, the information processing device 40 causesthe display 30 to display an image indicating the state of the cerebralblood flow, in addition to the face image or instead of the face image.

What is claimed is:
 1. An information processing method comprising:obtaining first image data indicating an image of at least one portionof a face of a target person from a first camera connected to or builtinto a first computer; obtaining cerebral blood flow informationindicating a state of cerebral blood flow of the target person from adetector that is connected to or built into the first computer and thatdetects the cerebral blood flow information; displaying, on a displayconnected to or built into a second computer, an output image includinga first image based on the first image data and a second image based onthe cerebral blood flow information; obtaining input informationregarding a disease name or a symptom name; and determining, based onthe input information, a region in a brain of the target person,wherein: the first image is a moving image including the at least oneportion of the face of the target person, the second image indicateschanges over time in the cerebral blood flow information, and thecerebral blood flow information corresponds to the region.
 2. Theinformation processing method according to claim 1, wherein the firstimage indicates at least one selected from the group consisting of achange in a facial expression of the target person, a change in aline-of-sight of the target person, and a change in facial color of thetarget person.
 3. The information processing method according to claim1, wherein the second image includes a graph indicating changes overtime in numerically expressed cerebral blood flow information.
 4. Theinformation processing method according to claim 3, further comprising:causing an output device connected to or built into the first computerto output task information indicating a task to be performed by thetarget person, wherein the second image further includes an imageindicating a correspondence relationship between the changes over timein the cerebral blood flow information and a period in which the taskinformation is output.
 5. The information processing method according toclaim 4, further comprising: detecting a change that exceeds a referencefrom at least one piece of data selected from the group consisting ofsecond image data from the first camera, third image data from a secondcamera connected to or built into the first computer, and audio datafrom a microphone connected to or built into the first computer, whereinthe second image further includes an image indicating a correspondencerelationship between the changes over time in the cerebral blood flowinformation and a period in which the change is detected from the atleast one piece of data.
 6. The information processing method accordingto claim 1, wherein the output image is obtained by combining the firstimage and the second image.
 7. The information processing methodaccording to claim 6, wherein the detector comprises: at least one lightsource that illuminates a target portion of a head portion of the targetperson with emission light; an image sensor that detects reflectionlight that returns from the target portion; and a processing circuitthat generates the cerebral blood flow information for the targetportion, based on information of the reflection light detected by theimage sensor, and that outputs the cerebral blood flow information,wherein the at least one light source illuminates a plurality of regionsin the target portion with the emission light; the image sensor outputsa signal indicating an intensity distribution of the reflection lightfrom the plurality of regions; the processing circuit generates thecerebral blood flow information, based on the signal, and outputs thecerebral blood flow information; and the second image indicates thechanges over time in the cerebral blood flow information for theplurality of regions.
 8. The information processing method according toclaim 7, wherein the at least one light source includes a first lightsource that illuminates the target portion with first emission lighthaving a wavelength that is 650 nm or more and is less than 805 nm; anda second light source that illuminates the target portion with secondemission light having a wavelength that is larger than 805 nm and is 950nm or less, and wherein the image sensor outputs a first electricalsignal corresponding to an amount of first reflection light that returnsfrom the target portion as a result of the illumination of the firstemission light and a second electrical signal corresponding to an amountof second reflection light that returns from the target portion as aresult of the illumination of the second emission light; the processingcircuit generates, as the cerebral blood flow information, informationindicating a concentration of oxygenated hemoglobin and a concentrationof deoxygenated hemoglobin in cerebral blood in the target portion,based on the first electrical signal and the second electrical signal;and the second image includes information indicating changes over timein at least one selected from the group consisting of the concentrationof oxygenated hemoglobin in the target portion and the concentration ofdeoxygenated hemoglobin in the target portion.
 9. The informationprocessing method according to claim 1, wherein the second computerswitches an image displayed on the display in response to an operationon the second computer, and the information processing method furthercomprises causing the first image to be displayed on the display; andcausing the second image to be displayed on the display in addition tothe first image or instead of the first image, in response to theoperation.
 10. The information processing method according to claim 1,wherein the detector is built into a head-mounted device connected tothe first computer and worn on a head portion of the target person. 11.The information processing method according to claim 1, furthercomprising: assessing at least one selected from the group consisting ofa psychological state of the target person and a probability of thetarget person having a disease, based on the cerebral blood flowinformation; and displaying a result of the assessment on the display.12. The information processing method according to claim 1, wherein: thesecond image comprises a moving image indicating the changes over timein the cerebral blood flow information, and a frame rate of the movingimage of the second image is lower than a frame rate of the moving imageof the first image.
 13. The information processing method according toclaim 1, wherein the input information is inputted to the secondcomputer with an input device.
 14. The information processing methodaccording to claim 1, wherein: the second image is a graph indicatingchanges over time in an average concentration of cerebral blood flow ofthe region, and the output image includes an image indicatingtwo-dimensional concentration distributions of the cerebral blood flowof the region.
 15. An information processing device connected to a firstcomputer and a second computer through a network, the informationprocessing device comprising: a processing circuit; and a memory inwhich a computer program is stored, wherein: the computer program causesthe processing circuit to execute: obtaining first image data indicatingan image of at least one portion of a face of a target person from acamera connected to or built into the first computer; obtaining cerebralblood flow information indicating a state of cerebral blood flow of thetarget person from a detector that is connected to or built into thefirst computer and that detects the cerebral blood flow information;displaying, on a display connected to or built into the second computer,an output image including a first image based on the first image dataand a second image based on the cerebral blood flow information;obtaining input information regarding a disease name or a symptom name;and determining, based on the input information, a region in a brain ofthe target person, the first image is a moving image including the atleast one portion of the face of the target person, the second imageindicates changes over time in the cerebral blood flow information, andthe cerebral blood flow information corresponds to the region.
 16. Aninformation processing system comprising: an information processingdevice connected to a first computer and a second computer through anetwork; a detector that is connected to or built in the first computer;a camera connected to or built in the first computer; and a displayconnected to or built into the second computer, wherein: the informationprocessing device includes: a processing circuit; and a memory in whicha computer program is stored, the computer program causes the processingcircuit to execute: obtaining first image data indicating an image of atleast one portion of a face of a target person from the camera;obtaining cerebral blood flow information indicating a state of cerebralblood flow of the target person from the detector; displaying, on thedisplay, an output image including a first image based on the firstimage data and a second image based on the cerebral blood flowinformation; obtaining input information regarding a disease name or asymptom name; and determining, based on the input information, a regionin a brain of the target person, the first image is a moving imageincluding the at least one portion of the face of the target person, thesecond image indicates changes over time in the cerebral blood flowinformation, and the cerebral blood flow information corresponds to theregion corresponds to the region.